Showing posts with label visualization. Show all posts
Showing posts with label visualization. Show all posts

Monday, December 21, 2015

ggplot2 2.0.0

ggplot2 2.0.0


I have used the ggplot2 package for a while and really like this package. It's happy to see that Hadley Wickham has officially updated the ggplot2 to version 2.0.0. On the RStudio Blog, Hadley highlights several important changes:
  • ggplot2 now has an official extension mechanism.
  • There are a handful of new geoms, and updates to existing geoms.
  • The default appearance has been thoroughly tweaked so most plots should look better.
  • Facets have a much richer set of labelling options.
  • The documentation has been overhauled to be more helpful, and require less integration across multiple pages.
  • A number of older and less used features have been deprecated.


You can find the document/manua on the project website. Many times, I go to the dev website to find the latest document/vignettes (extension, aesthetic specifications, themes).

The R Graphics Cookbook by Winston Chang is a must-have book to learn and become an expert of ggplot2 user. You can find the codes here from the Cookbook-R, and the Google book here.

Wednesday, July 03, 2013

Data visulization - a tutorial

Data visulization - a tutorial
Source: Tyler Rinker's blog

This is a nice video about how to visualize your data more effectively.



You can find the whole blog with slides and data here: The Mechanics of Data Visualization.

Tuesday, May 14, 2013

New features mentioned in SAS Tech Report, May 2013

New features mentioned in SAS Tech Report, May 2013

I haven't use SAS for my projects for a while. Today I read the SAS Tech Report in my emailbox. The Graphics focus area has been updated and is a great place to learn some new features/PROC SGPLOT. SAS is working hard on making better graphics.

Chris Daman has posted a few blogs about multilevel analysis: